Researchers from The Grainger College of Engineering at the University of Illinois Urbana-Champaign have reported the first ...

A Mintz newsletter tracking rapid changes in policy and agency actions that impact medical, life sciences, and ...

AI models can process thousands of factors simultaneously, including demand signals across multiple items, macroeconomic ...

Early-2026 explainer reframes transformer attention: tokenized text becomes Q/K/V self-attention maps, not linear prediction.

AI systems now operate on a very large scale. Modern deep learning models contain billions of parameters and are trained on ...

Thailand’s labor market is undergoing a quiet but significant transition. In the years following the pandemic, long-standing assumptions about work, careers, and recruitment have begun to break down.

WiMi Studies Quantum Hybrid Neural Network Model to Empower Intelligent Image Classification BEIJING, Jan. 15, 2026––WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global ...

Hands-on introduction of the Oris Year Of The Horse in Zermatt ✓ A vibrant red watch as bold and daring as the Chinese star ...

With legacy load forecasting models struggling with unpredictable events that are becoming ever more common, power-hungry AI offers a solution.

Lower-performing countries follow a different pattern. Gains in basic infrastructure, water access, or food availability can raise SDG scores even when education systems, innovation capacity, or ...

Large language models are routinely described in terms of their size, with figures like 7 billion or 70 billion parameters tossed around as shorthand for power. Yet for anyone outside the machine ...